Solution Selection from a Pareto Optimal Set of Multi-Objective Reservoir Operation via Clustering Operation Processes and Objective Values

Solution Selection from a Pareto Optimal Set of Multi-Objective Reservoir Operation via Clustering Operation Processes and Objective Values

Multi-objective evolutionary algorithms (MOEAs) are widely used to optimize multi-purpose reservoir operations. Considering that most outcomes of MOEAs are Pareto optimal sets with a large number of incomparable solutions, it is not a trivial task for decision-makers (DMs) to select a compromise sol...

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Bibliographic Details
Main Authors: Yanjun Kong, Yadong Mei, Xianxun Wang, Yue Ben
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
multi-objective reservoir optimization
Pareto optimal set analysis
similarity measure
data-driven decision-making
cluster analysis
Online Access:https://www.mdpi.com/2073-4441/13/8/1046

Internet

https://www.mdpi.com/2073-4441/13/8/1046

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